A Bayesian hierarchical latent trait model for estimating rater bias and reliability in large-scale performance assessment.

We propose a novel approach to modelling rater effects in scoring-based assessment. The approach is based on a Bayesian hierarchical model and simulations from the posterior distribution. We apply it to large-scale essay assessment data over a period of 5 years. Empirical results suggest that the mo...

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Bibliographic Details
Main Authors: Kaja Zupanc, Erik Štrumbelj
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5882162?pdf=render

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